{"id":"https://openalex.org/W4384210284","doi":"https://doi.org/10.5220/0012084400003541","title":"GUIDO: A Hybrid Approach to Guideline Discovery & Ordering from Natural Language Texts","display_name":"GUIDO: A Hybrid Approach to Guideline Discovery & Ordering from Natural Language Texts","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4384210284","doi":"https://doi.org/10.5220/0012084400003541"},"language":"en","primary_location":{"id":"doi:10.5220/0012084400003541","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5220/0012084400003541","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Data Science, Technology and Applications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dx.doi.org/10.5220/0012084400003541","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059802503","display_name":"Nils Freyer","orcid":"https://orcid.org/0000-0002-4460-3650"},"institutions":[{"id":"https://openalex.org/I99977706","display_name":"FH Aachen","ror":"https://ror.org/04tqgg260","country_code":"DE","type":"education","lineage":["https://openalex.org/I99977706"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nils Freyer","raw_affiliation_strings":["FB7 Operations Management, FH Aachen University of Applied Sciences, Aachen, Germany, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FB7 Operations Management, FH Aachen University of Applied Sciences, Aachen, Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I99977706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092465672","display_name":"Dustin Thewes","orcid":null},"institutions":[{"id":"https://openalex.org/I99977706","display_name":"FH Aachen","ror":"https://ror.org/04tqgg260","country_code":"DE","type":"education","lineage":["https://openalex.org/I99977706"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dustin Thewes","raw_affiliation_strings":["FB7 Operations Management, FH Aachen University of Applied Sciences, Aachen, Germany, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FB7 Operations Management, FH Aachen University of Applied Sciences, Aachen, Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I99977706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020265141","display_name":"Matthias Meinecke","orcid":"https://orcid.org/0009-0008-3055-5505"},"institutions":[{"id":"https://openalex.org/I99977706","display_name":"FH Aachen","ror":"https://ror.org/04tqgg260","country_code":"DE","type":"education","lineage":["https://openalex.org/I99977706"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Meinecke","raw_affiliation_strings":["FB7 Operations Management, FH Aachen University of Applied Sciences, Aachen, Germany, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FB7 Operations Management, FH Aachen University of Applied Sciences, Aachen, Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I99977706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99977706"],"apc_list":null,"apc_paid":null,"fwci":0.522,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59294741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"335","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9408000111579895,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8511464595794678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7205090522766113},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6991503238677979},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.5502246022224426},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5472651124000549},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5415371656417847},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5092412233352661},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.4918701648712158},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47995761036872864},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.45612964034080505},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.44598475098609924},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4459618926048279},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.44434744119644165},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.4357413649559021},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41214078664779663},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1043805181980133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8511464595794678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7205090522766113},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6991503238677979},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.5502246022224426},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5472651124000549},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5415371656417847},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5092412233352661},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.4918701648712158},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47995761036872864},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.45612964034080505},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.44598475098609924},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4459618926048279},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.44434744119644165},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.4357413649559021},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41214078664779663},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1043805181980133},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0012084400003541","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5220/0012084400003541","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Data Science, Technology and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2307.09959","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.09959","pdf_url":"https://arxiv.org/pdf/2307.09959","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.5220/0012084400003541","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5220/0012084400003541","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Data Science, Technology and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2003578783","https://openalex.org/W2367925007","https://openalex.org/W3015724364","https://openalex.org/W3091226465","https://openalex.org/W4288263119","https://openalex.org/W2967994095","https://openalex.org/W4285240985","https://openalex.org/W2900126711","https://openalex.org/W4225162083","https://openalex.org/W3202115945"],"abstract_inverted_index":{"Extracting":[0],"workflow":[1],"nets":[2],"from":[3,118],"textual":[4,14,79],"descriptions":[5,15],"can":[6,71],"be":[7],"used":[8],"to":[9,67,90,103,151],"simplify":[10],"guidelines":[11],"or":[12],"formalize":[13],"of":[16,26,146],"formal":[17],"processes":[18,21],"like":[19],"business":[20],"and":[22,34,70,75,112],"algorithms.":[23],"The":[24,127],"task":[25,95],"manually":[27],"extracting":[28],"processes,":[29],"however,":[30],"requires":[31],"domain":[32,65],"expertise":[33],"effort.":[35],"While":[36],"automatic":[37],"process":[38,47,92,105,116],"model":[39,93,117],"extraction":[40,58,94],"is":[41,49],"desirable,":[42],"annotating":[43],"texts":[44],"with":[45],"formalized":[46],"models":[48],"expensive.":[50],"Therefore,":[51],"there":[52],"are":[53],"only":[54],"a":[55,87,108,115,135],"few":[56],"machine-learning-based":[57,153],"approaches.":[59],"Rule-based":[60],"approaches,":[61,154],"in":[62,78,149],"turn,":[63],"require":[64],"specificity":[66],"work":[68],"well":[69],"rarely":[72],"distinguish":[73],"relevant":[74],"irrelevant":[76],"information":[77],"descriptions.":[80],"In":[81],"this":[82],"paper,":[83],"we":[84],"present":[85],"GUIDO,":[86],"hybrid":[88],"approach":[89,129],"the":[91,104,119,155],"that":[96],"first,":[97],"classifies":[98],"sentences":[99,120],"regarding":[100],"their":[101],"relevance":[102],"model,":[106],"using":[107,124],"BERT-based":[109],"sentence":[110],"classifier,":[111],"second,":[113],"extracts":[114],"classified":[121],"as":[122],"relevant,":[123],"dependency":[125],"parsing.":[126],"presented":[128],"achieves":[130,140],"significantly":[131],"better":[132],"results":[133],"than":[134],"pure":[136],"rule-based":[137],"approach.":[138],"GUIDO":[139],"an":[141],"average":[142],"behavioral":[143],"similarity":[144],"score":[145],"$0.93$.":[147],"Still,":[148],"comparison":[150],"purely":[152],"annotation":[156],"costs":[157],"stay":[158],"low.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-22T07:34:49.880490","created_date":"2023-07-14T00:00:00"}